PREDICTING KEYWORD MONETIZATION
First Claim
1. A method of predicting keyword monetization for a period of time for one or more advertisements corresponding to a keyword in one or more keyword-advertiser relationships, the method comprising:
- fetching historical data for the one or more keyword-advertiser relationships; and
predicting keyword monetization based on historical data for the one or more keyword-advertiser relationships.
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Abstract
Embodiments of the claimed subject matter provide a method and system for predicting bidding keyword monetization. The claimed subject matter provides a method and system with which the value of a keyword for the purpose of relevant online advertisement may be evaluated according to various metrics to determine a bidding landscape for use in advertising campaigns. The value of the keyword considers certain attributes related to the monetization of the keyword.
One embodiment of the claimed subject matter is implemented as a method for predicting keyword monetization for one or more keyword-advertisement relationships. Historical data for the one or more keyword-advertisement relationships is referenced and used to generate a global model of the one or more keyword-advertisement relationship. The relationships are then evaluated according to a time-series analysis, which parses the data from the historical data and the global model to create predictions for the keyword monetization according to the keyword-advertisement relationships.
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Citations
20 Claims
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1. A method of predicting keyword monetization for a period of time for one or more advertisements corresponding to a keyword in one or more keyword-advertiser relationships, the method comprising:
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fetching historical data for the one or more keyword-advertiser relationships; and predicting keyword monetization based on historical data for the one or more keyword-advertiser relationships. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for generating a keyword performance landscape for one or more keyword-advertiser relationships representing one or more advertisers with one or more advertisements corresponding to a keyword, the method comprising:
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connecting to a data resource containing data for the one or more keyword-advertiser relationships, the data including historical data of the one or more keyword-advertiser relationships; fetching the historical data for the one or more keyword-advertiser relationships, the historical data including keyword monetization property for the one or more keyword-advertiser relationships; predicting keyword monetization property for the keyword for a period of time, predicting keyword monetization includes generating a global model incorporating the one or more keyword-advertiser relationships and evaluating the one or more keyword-advertiser relationships according to a time-series analysis; and generating a keyword performance landscape for the one or more keyword-advertiser relationship from the historical data and the predicted keyword monetization property. - View Dependent Claims (12, 13, 14, 15)
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16. A system for generating a bidding keyword landscape including one or more keyword-advertiser relationships, the system comprising:
a computer system having a processor coupled to a memory, the memory having computer readable code, which when executed by the processor causes the computer system to implement; a advertiser production data resource; and a keyword monetization engine wherein the keyword monetization engine predicts monetization for a keyword for a duration of time by generating a global model incorporating the one or more keyword-advertiser relationships and evaluating the one or more keyword-advertiser relationships according to a time-series analysis, generating a keyword performance landscape from the global model and time series analysis, and outputting the keyword performance landscape. - View Dependent Claims (17, 18, 19, 20)
Specification